Hostname: page-component-848d4c4894-sjtt6 Total loading time: 0 Render date: 2024-06-22T03:08:23.792Z Has data issue: false hasContentIssue false
  • English
  • Français

Special Issue: Machine Learning in Design

Published online by Cambridge University Press:  27 February 2009

Mary Lou Maher ,
David C. Brown  and
Alex Duffy
Mary Lou Maher
Affiliation:
Department of Architectural and Design Science, University of Sydney, Sydney, NSW 2006, Australia.
David C. Brown
Affiliation:
AI Research Group, Computer Science Department, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Alex Duffy
Affiliation:
CAD Centre, University of Strathclyde, 75 Montrose Street, Glasgow, G1 1XJ, Scotland, UK.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The linking of research in machine learning with research in knowledge-based design is such that each of the two areas benefit from the consideration of the other. The use of machine learning in design addresses the perceived need to support the capture and representation of design knowledge, because handcrafting a representation is a difficult and time-consuming task. In addition, design provides a task with which to investigate the usefulness of existing machine learning techniques, and, perhaps, to discover new ones.

Type
Guest Editorial
Information
AI EDAM , Volume 8 , Issue 2 , Spring 1994 , pp. 81 - 82
Copyright
Copyright © Cambridge University Press 1994

References

REFERENCES

Gero, J.S. (1992). Artificial Intelligence in Design '92. Kluwer Academic Publishers, The Netherlands.CrossRefGoogle Scholar